Microarray is a powerful technology that allows simultaneous measurement of expression levels for up to tens of thousands of genes. Microarray is useful when one wants to survey a large number of genes quickly or when the sample to be studied is small. Because a Microarray can be used to examine the expression of thousands of genes at once, it promises to revolutionize the way scientists examine gene expression and conduct of gene expression profiles in a variety of cell types.

Replication allows the experimenter to obtain an estimate of the experimental error and this estimate of error can become the basis for drawing conclusions whether the observed differences in the data are significant. Replication can improve the quality of inferences from experimental and achieve a desired level of sensitivity. Since Microarray experiments are costly and involve RNA samples that are often difficult to obtain, techniques for estimating in advance how many replicates are needy required.

MATLAB extend the toolboxes by adding Bioinformatics Toolbox, which is providing an integrated software environment for genome and proteome analysis. In this work, we investigate of using MATLAB-Bioinformatics toolbox as replication technique.